n8n vs Make vs Zapier: Which Automation Tool Fits Your Business

Most automation tool comparisons start with a feature table. That table rarely decides anything. The tool that survives in production is the one that fits where your data is allowed to live, who will maintain the workflow, and what happens on the day an API returns a 500.

Here is how the three common choices differ, and the questions worth asking before you pick one.

The three models

Zapier is hosted and the simplest of the three. You connect two apps, choose a trigger, choose an action, and it runs. The app directory is the largest, which matters when the tool you need is obscure. Pricing is per task, so the cost rises with volume.

Make is hosted and visual. A scenario is a canvas of modules with branches, iterators and error handlers. It handles multi-step work with conditions better than a list of linear Zaps, and pricing is per operation rather than per task.

n8n is source-available and can be self-hosted or run on n8n Cloud. Workflows are node-based, with code nodes when a visual step is not enough. Self-hosting means the data stays on infrastructure you control, and the execution log is yours. The trade-off is that you also own upgrades, backups and uptime.

What actually decides it

Where the data is allowed to go

If the workflow touches patient information, client contracts or financial records, the hosting question is not a preference. Self-hosted n8n keeps records inside your own environment. Hosted tools can be appropriate, but they require a data processing agreement and a clear answer about what is stored in execution logs. Ask that question before the trial, not after.

Who maintains it

Zapier suits an operations person who wants a working automation this afternoon. Make suits someone comfortable with a visual builder and branching logic. n8n suits a team with developer time, or a partner who will own the build, because the moment a custom API or an LLM step appears, someone has to write and test code.

Failure behaviour

The happy path is easy in all three. The difference appears when a request times out halfway through a five-step process. Does the workflow retry, and does the retry duplicate the record? Is there an error branch that notifies a human? Can you replay a failed execution without re-sending the customer email? n8n exposes executions and retries directly. Make has error handlers per module. Zapier has error paths on paid plans. None of them will design idempotency for you.

The cost curve

Per-task pricing is cheap at ten runs a day and expensive at ten thousand. Per-execution pricing is the same shape. Self-hosted n8n trades licence cost for server cost and engineering time. Model the volume you expect in twelve months, not the volume you have today.

Lock-in

Export your workflows before you need to. A JSON export from n8n or Make is readable and portable. A Zap is portable in concept, not in structure: the logic has to be rebuilt, which is why migrations are usually a rewrite rather than a copy.

When each one fits

• Zapier: simple two-app automations, marketing and admin work, low volume, no engineering time available.
• Make: multi-step scenarios with branching, moderate volume, an operations team that wants visual control.
• n8n: developer-adjacent work, self-hosting, custom APIs, LLM agents with tool calls, higher volume, or data that cannot leave your environment.

Many teams end up with two: Zapier for the long tail of small connectors, n8n for the workflows that touch the core system. That is a reasonable outcome if the boundary is written down.

The parts people underestimate

1. Error handling and alerting. A workflow that fails silently is worse than a manual process, because nobody knows to check.
2. Environments. Test with a staging copy of the destination, not the live CRM.
3. Credentials. Rotate API keys on a schedule and keep them out of the workflow export.
4. Observability. Log the record ID at every step so a failure can be traced to one customer.
5. Ownership. Name the person who gets the alert at 9am on a Monday.

A migration note

If you are moving from Zapier to n8n or Make, inventory every live Zap first, including the ones nobody remembers building. Map each trigger, rebuild one workflow at a time, and run the old and new versions in parallel for two weeks on read-only steps. Cut over when the outputs match, not when the new canvas looks finished.

If you want the build handled, our n8n automation service covers scoping, build, documentation and handover, and the wider AI and automation practice covers agents and retrieval when a workflow needs them.